On the coalitional decomposition of parameters of interest by Il Idrissi, Marouane, Bousquet, Nicolas, Gamboa, Fabrice, Iooss, Bertrand, Loubes, Jean-Michel

Get full text

Weed Control and Grain Sorghum (Sorghum bicolor) Tolerance to Pyrasulfotole plus Bromoxynil by Dan D. Fromme, Peter A. Dotray, W. James Grichar, Carlos J. Fernandez

“…Early season grain sorghum chlorosis and stunting with pyrasulfotole plus bromoxynil combinations did not affect grain sorghum yields with the exception of pyrasulfotole at 0.03 kg ai/ha plus bromoxynil at 0.26 kg ai/ha plus atrazine at 0.58 kg ai/ha applied early postemergence followed by pyrasulfotole plus bromoxynil applied mid-postemergence which reduced yield at one of two locations in 2008. …”
Get full text

Predicting Risk through Artificial Intelligence Based on Machine Learning Algorithms: A Case of Pakistani Nonfinancial Firms by Shamsa Khalid, Muhammad Anees Khan, M.S. Mazliham, Muhammad Mansoor Alam, Nida Aman, Muhammad Tanvir Taj, Rija Zaka, Muhammad Jehangir

“…AI (artificial intelligence) is a significant technological advancement that has everyone buzzing about its incredible potential. …”
Get full text

依据共有等位基因数判别叔侄关系

“…【方法】 根据１１９对叔侄、１１９对无关个体的１５个ＳＴＲ 基因座的分型结果，计算每对个体的共有等位基因数（Ａ）和叔侄指数（ＡＩ），进行统计学处理。【结果】 共有等位基因数（Ａ）在叔侄对和无关个体对中均符合正态分布。采用共有等位基因数（Ａ）建立的典型判别函数 ＝ ０．４３７Ａ－５．２６８，判别叔侄和无关个体的平均准确率为８０．７％；采用ｌｇ ＡＩ建立的典型判别函数＝ １．０２１ ｌｇ ＡＩ ＋０．０５１，平均准确率为８２．８％，两者判别结果无统计学差异（Ｐ ＞ ０．０５）。…”
Get full text

Robotization of Miniature-Scale Radio-Controlled Excavator: A New Medium for Construction- Specific DNN Data Generation by Seyedeh Fatemeh Saffari, Daeho Kim, Byungjoo Choi

“…Digital management of excavators has seen limited progress due to challenges in artificial intelligence (AI) training. The AI required for digital twinning of excavators necessitates a large volume of diverse imagery data, currently scarce in the construction domain. …”
Get full text

Biologically Inspired Spatial–Temporal Perceiving Strategies for Spiking Neural Network by Yu Zheng, Jingfeng Xue, Jing Liu, Yanjun Zhang

“…However, current mainstream DNN (deep learning neural network)-based AI (artificial intelligence) is a ‘black box’. We cannot interpret or understand how the decision is made by these AIs. …”
Get full text

Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading by Rajesh I. S., Bharati M. Reshmi, Bharathi Malakreddy A, Shavantrevva Bilakeri

Get full text

RETRACTED: Study of the correlation dependence of complications in the organization of medication support when using cilostazol drugs as complex therapy for diabetic foot syndrome by Koreyba K.A., Dibirov M.D., Gadzhimuradov R.U., Koreiba D.K.

Get full text

Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“…Herein, the Artificial Intelligence (AI) and Machine Learning concepts are described, and several examples are presented to demonstrate the application of the AI in agriculture. …”
Get full text

The Recommendations of the Russian Gastroenterological Association on the Diagnostics and the Treatment of Chronic Pancreatitis (Draft) by V. T. Ivashkin, I. V. Mayev, O. S. Shifrin, A. A. Sheptulin, A. V. Okhlobystin, Yu. A. Kucheryavyy

Get full text

The PDC30 Chatbot—Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study by Sheung-Tak Cheng, Peter H F Ng

“…Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem. …”
Get full text

Artificial Intelligence-Powered Cognitive Behavioral Therapy Chatbots, a Systematic Review by Maryam Farzan, Hamid Ebrahimi, Maryam Pourali, Fatemeh Sabeti

“…Method: Searches were conducted on the PubMed, Embase, MEDLINE, CENTRAL, CINAHL, PsycINFO, and Google Scholar databases using a set of keywords such as, not limited to, AI cognitive behavioral therapy (AI CBT), Youper, Wysa, Woebot, and other related terms. …”
Get full text

Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer by Yun-Ting Chen, Yan-Cheng Huang, Hsiu-Ling Chen, Hsin-Chih Lo, Pei-Chin Chen, Chiun-Chieh Yu, Yi-Chin Tu, Tyng-Luh Liu, Wei-Che Lin

Get full text

Application of three-dimensional printing in the planning and execution of aortic aneurysm repair by Harshank Patel, Paul Choi, Jennifer C. Ku, Rosemary Vergara, Rafael Malgor, Dhiren Patel, Yong Li

“…Standardization is enhanced by using artificial intelligence (AI) for image pre-processing before 3D printing. …”
Get full text

Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis by Mahdi Gouravani, Mohammad Shahrabi Farahani, Mohammad Amin Salehi, Shayan Shojaei, Sina Mirakhori, Hamid Harandi, Soheil Mohammadi, Ramy R. Saleh

“…Encouraged by the key role of imaging in the management of RCC, we conducted a systematic review and meta-analysis of the studies that made use of artificial intelligence (AI) for the detection of RCC to quantitatively determine the performance of AI for distinguishing related renal lesions. …”
Get full text

RED-Net: A Neural Network for 3D Thyroid Segmentation in Chest CT Using Residual and Dilated Convolutions for Measuring Thyroid Volume by Min-Ji Kim, Jin-A Kim, Naae Kim, Yul Hwangbo, Hyun Jeong Jeon, Dong-Hwa Lee, Ji Eun Oh

Get full text

Asynchronous Realization of Algebraic Integer-Based 2D DCT Using Achronix Speedster SPD60 FPGA by Nilanka Rajapaksha, Amila Edirisuriya, Arjuna Madanayake, Renato J. Cintra, Dennis Onen, Ihab Amer, Vassil S. Dimitrov

“…Recently proposed algebraic-integer-(AI-) based discrete cosine transform (DCT) algorithms are analyzed in the presence of quantization, using the High Efficiency Video Coding (HEVC) standard. …”
Get full text

An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

“…To address this problem, an IoT-based Artificial Intelligence (AI) technique for forest fire detection has been proposed. …”
Get full text

Artificial intelligence empowered voice generation for amyotrophic lateral sclerosis patients by Stefano Regondi, Giordana Donvito, Emanuele Frontoni, Milutin Kostovic, Fabio Minazzi, Sébastien Bratières, Massimiliano Filosto, Raffaele Pugliese

“…To tackle this issue, combining voice banking (VB) and artificial intelligence (AI) has emerged as a more natural communication strategy, enabling individuals to preserve their voice for use with AAC devices as needed. …”
Get full text

Pre-emergent herbicides during the off-season of irrigated rice to control weedy rice and reduce the soil seed bank by Tilio Adan Lucas, Simone Puntel, Rafaella Boemo Mario, Leonardo da Silva Bolson, Arícia Ritter Corrêa, Pedro Henrique Folharini, Murilo Vieira Loro, André da Rosa Ulguim

“…Factor B consisted of the application of the herbicides s-metolachlor (1440 g a.i. ha-1), sulfentrazone + diuron (210 and 420 g a.i. ha-1), piroxasulfone (170 g a.i. ha-1), and flumioxazin (50 g a.i. ha-1), in addition to the control (no application). …”
Get full text